@inproceedings{Liu_2002_Expertise-Matching, title = {Exploring RDF for Expertise Matching within an Organizational Memory.}, author = {Ping Liu and Jayne Curson and Peter M. Dew}, booktitle = {International Conference of Advanced Information Systems Engineering (CAiSE)}, crossref = {conf/caise/2002}, editor = {Anne Banks Pidduck and John Mylopoulos and Carson C. Woo and M. Tamer Özsu}, pages = {100-116}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, volume = 2348, year = 2002, url = {http://dblp.uni-trier.de/db/conf/caise/caise2002.html#LiuCD02}, ee = {http://link.springer.de/link/service/series/0558/bibs/2348/23480100.htm}, isbn = {3-540-43738-X}, date = {2002-06-05}, description = {dblp}, abstract = {Organizations have realized that effective development and management of their organizational knowledge base is very important for their survival in todays competitive business environment. People, as a special knowledge asset, also attract the interest of many researchers because, only through people communicating with one another, can they really share their tacit knowledge and skills that can be more valuable than explicit documentation. The need to be able to quickly locate experts among the heterogeneous data sources stored in the organizational memory has been recognized by many researchers. This paper examines the advantages of using RDF (Resource Description Framework) for Expertise Matching. The major challenge is to semantically integrate heterogeneous data sources stored in the organizational memory and facilitate users to locate the right people. We present a practical application of this using a case study where PhD applicants can locate potential supervisors before they formally apply to a university. }, biburl = {http://www.bibsonomy.org/bibtex/2ce1c33586052052e5c63acac6fcd8580/wnpxrz}, keywords = {rdf semanticweb} } @inproceedings{Taatgen_2006_Cognitive-Models, title = {How Cognitive Models can Inform the Design of Instructions}, author = {Niels A. Taatgen and David Huss and John R. Anderson}, pages = {304-309}, series = {Proceedings of the seventh International Conference on cognitive modeling}, year = 2006, abstract = {Instructions represented as lists of steps lead to inflexible and brittle behavior in cognitive models, suggesting that list-style instructions lead to poor learning in people as well. On the basis of this assumption we designed an alternative operatorstyle instruction that produces better learning in models. In an experiment and model of interacting with a simulated Flight Management System, a system that is notoriously hard to learn on the basis of list-style instructions, we show that alternative instructions produce significantly better and more robust learning. }, biburl = {http://www.bibsonomy.org/bibtex/2cb8d6afb8976f785cedce6472e9db138/wnpxrz}, keywords = {cognition cognitive model modeling} } @unpublished{Emond_2002_Cognitive-Modelling, title = {Cognitive Modeling and its Application for the Development of Socially Adept Technologies}, author = {B. Emond and R.L. West}, year = 2002, abstract = {In this paper we would like to propose that the methodology of cognitive modeling can provide an approach to the implementation of socially adept technologies and the evaluation of its usability. We base this approach on the assumption that representations play an essential role in mediating social relations. Cognitive representations and their causal link to the social and physical environments have been recognized as an essential element for understanding social relations. The challenge is to port cognitive modeling methodology into the realm of socially adept technologies. The first section briefly presents the state of development of a modeling environment aimed at supporting usability testing of sociotechnical systems. The second section will give an overview of an application intended to support social and personal awareness in a web-based learning environment. This application maps users identity, users behavior, and shared information content into a model of human memory. }, biburl = {http://www.bibsonomy.org/bibtex/2557704e0ea2c7c1ad42c1971d906da7d/wnpxrz}, keywords = {cognition cognitive model modeling} } @article{zhang2006, title = {{Mining search engine query logs for query recommendation}}, author = {Z. Zhang and O. Nasraoui}, journal = {Proceedings of the 15th international conference on World Wide Web}, pages = {1039--1040}, publisher = {ACM Press New York, NY, USA}, year = 2006, biburl = {http://www.bibsonomy.org/bibtex/2f4873abd71cd109213b349c554cb376d/wnpxrz}, keywords = {ir log query recommendation recommendersystems search} } @inproceedings{952761, title = {Ontology-focused crawling of Web documents}, address = {New York, NY, USA}, author = {Marc Ehrig and Alexander Maedche}, booktitle = {SAC '03: Proceedings of the 2003 ACM symposium on Applied computing}, pages = {1174--1178}, publisher = {ACM}, year = 2003, url = {http://www.aifb.uni-karlsruhe.de/WBS/meh/publications/ehrig03ontology.pdf}, location = {Melbourne, Florida}, isbn = {1-58113-624-2}, doi = {http://doi.acm.org/10.1145/952532.952761}, description = {Ontology-focused crawling of Web documents}, abstract = {The Web, the largest unstructured database of the world, has greatly improved access to documents. However, documents on the Web are largely disorganized. Due to the distributed nature of the World Wide Web it is difficult to use it as a tool for information and knowledge management. Therefore, users doing the difficult task of exploring the Web have to be supported by intelligent means.This paper proposes an approach for document discovery building on a comprehensive framework for ontology-focused crawling of Web documents. Our framework includes means for using a complex ontology and associated instance elements. It defines several relevance computation strategies and provides an empirical evaluation which has shown promising results.}, biburl = {http://www.bibsonomy.org/bibtex/29d9bcba93b086195f41402c83da3ff07/wnpxrz}, keywords = {crawling ontology proj:bk proj:gtf web} } @article{freeman1993, title = {{Using Galois Lattices to Represent Network Data}}, author = {L.C. Freeman and D.R. White}, journal = {Sociological Methodology}, pages = {127--146}, volume = 23, year = 1993, description = {focuses on bipartite / affiliation networks}, biburl = {http://www.bibsonomy.org/bibtex/250103469c4e839b6f05a522eaacaa3a8/wnpxrz}, keywords = {analysis network proj:bk sna social} } @article{yu2005, title = {{Reverse Engineering Goal Models from Legacy Code}}, author = {Y. Yu and Y. Wang and J. Mylopoulos and S. Liaskos and A. Lapouchnian and JCS do Prado Leite}, journal = {Requirements Engineering, 2005. Proceedings. 13th IEEE International Conference on}, pages = {363--372}, year = 2005, biburl = {http://www.bibsonomy.org/bibtex/242c5b8ab068c7b9adaea0334fc0fbd36/wnpxrz}, keywords = {code goal model reverseengineering software} } @mastersthesis{smith2007, title = {EventMinder: A Personal Calendar Assistant That Understands Events}, author = {D.A. Smith}, school = {Massachusetts Institute of Technology}, year = 2007, url = {http://web.mit.edu/~dsmit/Public/dsmith-ms.pdf}, description = {D. Smith @ Media}, biburl = {http://www.bibsonomy.org/bibtex/25dcd082fae17aa8b6c7d72da28005dda/wnpxrz}, keywords = {calendar calendaring pim} } @article{golder2006, title = {{Usage patterns of collaborative tagging systems}}, author = {S.A. Golder and B.A. Huberman}, journal = {Journal of Information Science}, number = 2, pages = 198, volume = 32, year = 2006, description = {introduces different categories of tags (eg task-organising, categories, etc)}, biburl = {http://www.bibsonomy.org/bibtex/2281943ad0a7c81ad975f0a4c7de43447/wnpxrz}, keywords = {collaborative tagging} } @article{hui2005, title = {{Extracting conceptual relationships from specialized documents}}, author = {B. Hui and E. Yu}, journal = {Data \& Knowledge Engineering}, number = 1, pages = {29--55}, publisher = {Elsevier}, volume = 54, year = 2005, biburl = {http://www.bibsonomy.org/bibtex/27659353f4454b308721a70f3be2a8805/wnpxrz}, keywords = {document extraction ie proj:kre relationship} }